Python bleach library vs
The Python Bleach library is a Python library for HTML cleaning and disinfection.It provides a simple and easy -to -use method to filter the HTML mark to prevent potential cross -site script attack (XSS).The following is a knowledge article about how to use the BLEACH library, which also includes related programming code and configuration description.
Title: Python Bleach Library: effective tool for HTML cleaning and disinfection
Abstract: The Python Bleach library is a powerful tool for cleaning up and disinfected HTML code to improve the security of Web applications.This article will introduce how to use the BLEACH library, including installation and configuration, and sample code and common cases.
1. Install and configure the BLEACH library
The BLEACH library can be installed through PIP and the following commands are used:
pip install bleach
After the installation is complete, you can import the library in the Python script:
python
import bleach
Basic usage
The BLEACH library provides a variety of filtering methods for HTML markings to ensure safety.Here are some common cases and corresponding code examples:
1. Clean up HTML code:
python
dirty_html = "<p>This is <script>alert('XSS')</script> unsafe HTML.</p>"
clean_html = bleach.clean(dirty_html)
print(clean_html)
Output:
<p>This is unsafe HTML.</p>
The above code uses the potential hazard label in the `bleach.clean ()` function to clear the `dirty_html`, such as the label of the` Script> `to ensure that the output HTML is safe.
2. Keep the specified label:
python
dirty_html = "<p>This is a <b>bold</b> statement.</p>"
allowed_tags = ["p", "b"]
clean_html = bleach.clean(dirty_html, tags=allowed_tags)
print(clean_html)
Output:
<p>This is a <b>bold</b> statement.</p>
In the above example, the `tags` parameter specifies the allowable label list, and other tags will be filtered out.
3. Dipping label attributes:
python
dirty_html = '<a href="https://example.com" onclick="alert(\'XSS\')">Link</a>'
clean_html = bleach.clean(dirty_html, strip=True)
print(clean_html)
Output:
<a>Link</a>
By setting the `Strip` parameter to` True`, the attributes of the HTML mark can be completely peeled, and the label itself can be retained.
3. Advanced usage
The BLEACH library also provides many other senior functions, such as custom filter, white list and link conversion.Here are some example code:
1. Custom filter:
python
def custom_filter(tag, name, value):
if tag == "a" and name == "href":
# Only allow example.com links
return value.startswith("https://example.com")
return True
dirty_html = '<a href="https://example.com">Valid Link</a> <a href="https://malicious.com">Malicious Link</a>'
clean_html = bleach.clean(dirty_html, filters=[custom_filter])
print(clean_html)
Output:
<a href="https://example.com">Valid Link</a> Malicious Link
In the above code, use a custom filter function `Custom_filter` to define the allowable` <a> `label link, only the link to start with the` https: // example.com`.
2. Whitelist configuration:
python
allowed_tags = ["p", "a"]
allowed_attributes = {"a": ["href", "title"]}
dirty_html = '<p>This is <a href="https://example.com" title="Example">an example</a> link.</p>'
clean_html = bleach.clean(dirty_html, tags=allowed_tags, attributes=allowed_attributes)
print(clean_html)
Output:
<p>This is <a href="https://example.com" title="Example">an example</a> link.</p>
In the above example, the `tags` parameter specifies the allowable labels, and the` Attributes` parameter specifies the allowable attributes of each allowed tag.
Fourth, summary
This article introduces the basic usage of the Python Bleach library and some advanced features.Using the BLEACH library can easily clean up and disinfect the HTML code to improve the security of Web applications.By preventing potential cross -site script attacks, user data and privacy can be protected.When using this library, please perform appropriate configuration and filter settings according to specific needs.
